Assessment and sizing
- Workload profiling
- Cardinality and retention analysis
- Single-node versus cluster
- Capacity model
Telemetry storage
VictoriaMetrics Stack engineering services
Use VictoriaMetrics, VictoriaLogs and VictoriaTraces where efficient storage and a simple operational footprint matter.
Outcome 1Lower telemetry storage overhead
Outcome 2Measured migration instead of a blind replacement
Outcome 3Clear retention and replication model
Outcome 4Compatible collection and query paths
What we solve
Production engineering, not a product demo
We validate fit through measurements, then design collection, storage, retention, replication and migration around your workloads.
Every engagement starts with current-state evidence, explicit assumptions and measurable acceptance criteria. The result is documented so your team can own it.
Service scope
From architecture to daily operations
Choose a focused assessment or combine workstreams into an implementation and enablement programme.
Metrics
- vmagent and remote write
- VictoriaMetrics deployment
- MetricsQL dashboards
- vmalert rules
Logs and traces
- VictoriaLogs ingestion
- VictoriaTraces evaluation
- Collector integration
- Query and retention validation
Migration and operations
- Parallel-write pilot
- Data and query comparison
- Monitoring and backups
- Runbooks and training
Delivery model
A controlled path to production
Each stage produces a reviewable result before the next decision.
Assessment
Goals, workload and constraints.
Architecture
Design, sizing and acceptance criteria.
Pilot
Validate on representative data.
Implementation
Deploy, integrate and migrate.
Enablement
Documentation and hands-on training.
Support
Operate, measure and improve.
Questions
Common project questions
Can VictoriaMetrics replace Prometheus?
It can replace or extend parts of a Prometheus architecture. We validate compatibility, query behaviour and operational requirements first.
Can we migrate gradually?
Yes. Parallel remote write is a common way to compare data and queries before cutover.
Do you benchmark before recommending it?
Yes. Storage, ingest, query latency and operational complexity should be measured on representative data.
Related expertiseAll services